Senior Applied Scientist, Generative AI Solutions

Application Deadline: Mar 6, 2026 Are you eager to work at the cutting-edge of Machine Learning and AI? Do you want to be part of a team that uses Generative AI to tackle real-world challenges and create impactful solutions? Join us at the Generative AI Innovation Center, where we assist AWS customers in implementing Generative AI strategies that transform their business landscapes. The GenAI Innovation Center is dedicated to helping AWS customers not only develop but also scale generative AI solutions. Our team collaborates closely with customers to envision and define tailored use cases, navigating both technical and business hurdles, and building models that power practical applications. We pride ourselves on providing insights into best practices for applying generative AI in a responsible and cost-effective manner. In this role, you will engage directly with customers and thrive in a dynamic environment that fosters innovation and creativity. You will conduct experiments, research novel algorithms, and discover new avenues for enhancing risk management, profitability, and user experience. Key Responsibilities: Collaborate with AI/ML scientists and architects to research and design generative AI solutions that address tangible business challenges. Engage with customers to gain insights into their business needs, assisting them in the implementation of generative AI solutions while providing guidance on effective adoption and production paths. Support customers in building their solutions using methods such as prompt engineering, model selection, and training or fine-tuning of models. Provide feedback from customers and the market to product and engineering teams to help shape product development and direction. About AWS: Diverse Experiences Amazon values diverse experiences. Even if you don't meet all the preferred qualifications or skills listed, we encourage candidates to apply. We welcome applicants whose careers may have begun unconventionally or who have alternative experiences. Why AWS? Amazon Web Services (AWS) is the world's leading cloud platform. We have been pioneers in cloud computing and continue to lead through innovation, which is why both pioneering startups and Global 500 companies trust our extensive range of products and services. Work/Life Balance We emphasize work-life harmony. Achieving success at work should not require personal sacrifices, so we prioritize flexibility as part of our culture. When our employees feel supported both professionally and personally, we can achieve remarkable outcomes in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and help our staff take pride in their unique identities. Our inclusion events enhance team collaboration and foster innovation through diverse perspectives and voices. Mentorship and Career Growth We are continually raising the bar for performance as we strive to become the best employer. Thus, you will find an abundance of mentorship, knowledge-sharing, and career-enhancing resources that foster your development into a more well-rounded professional. AWS Global Services AWS Global Services encompasses experts from various fields who assist customers in designing, building, operating, and securing their cloud environments. Customers can innovate with AWS Professional Services, enhance their skills through AWS Training and Certification, and achieve their goals with AWS Support and Managed Services. Join our diverse team of technical experts across multiple countries who help customers achieve more with AWS cloud solutions. Basic Qualifications: At least 3 years of experience developing machine learning models for practical applications. A PhD or a Master's degree with 6+ years of applied research experience. Proficiency in programming languages such as Java, C++, Python, or a related language. Experience with deep learning techniques and machine learning methodologies. Preferred Qualifications: Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc. Experience with large-scale distributed systems, such as Hadoop or Spark. Amazon is an equal opportunity employer. We do not discriminate based on veteran status, disability, or any other legally protected status. Los Angeles County applicants: This position requires collaboration with colleagues and supervisors, adherence to excellence under pressure, and effective communication to ensure exceptional customer service. Criminal history may have a direct impact on certain job duties. We will consider qualified applicants with arrest and conviction records. Please note that our inclusive culture empowers all Amazonians to deliver outstanding results for our customers. If you have a disability and require workplace accommodations during the application or hiring process, including interview or onboarding support, visit our website for more information. The base salary range for this position is detailed below. Your Amazon compensation package will include sign-on bonuses and restricted stock units (RSUs). Final compensation will depend on factors such as experience, qualifications, and geographical location. Amazon also offers extensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits through our website. Salary Ranges: Mountain View: $192,200 - $260,000 annually Denver: $167,100 - $226,100 annually Boston: $167,100 - $226,100 annually New York: $183,800 - $248,700 annually Arlington: $167,100 - $226,100 annually Bellevue: $167,100 - $226,100 annually Seattle: $167,100 - $226,100 annually

Created: 2026-03-10